Costas T Lambrew Research Retreat
tableone::CreateTableOne(
vars = c("time","status","age","sex","trig","stage"),
strata = "trt", data = survival::pbc,
factorVars = c("status","trt","edema","stage"))## Stratified by trt
## 1 2 p test
## n 158 154
## time (mean (SD)) 2015.62 (1094.12) 1996.86 (1155.93) 0.883
## status (%) 0.894
## 0 83 (52.5) 85 (55.2)
## 1 10 ( 6.3) 9 ( 5.8)
## 2 65 (41.1) 60 (39.0)
## age (mean (SD)) 51.42 (11.01) 48.58 (9.96) 0.018
## sex = f (%) 137 (86.7) 139 (90.3) 0.421
## trig (mean (SD)) 124.14 (71.54) 125.25 (58.52) 0.886
## stage (%) 0.201
## 1 12 ( 7.6) 4 ( 2.6)
## 2 35 (22.2) 32 (20.8)
## 3 56 (35.4) 64 (41.6)
## 4 55 (34.8) 54 (35.1)
install.packages("tidyverse")import pandas as pd
my_series = pd.Series([2, 4, 6, 8, 10])
print(my_series.describe())## count 5.000000
## mean 6.000000
## std 3.162278
## min 2.000000
## 25% 4.000000
## 50% 6.000000
## 75% 8.000000
## max 10.000000
## dtype: float64
con <- dbConnect(odbc(), Driver = "{ODBC Driver 17 for SQL Server}",
Server = "localhost",
Database = "testdb",
UID = "SA",
PWD = rstudioapi::askForPassword("Database password"),
Port = 1433)